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Modeling the dynamic characteristics of a district heating network

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  • Jie, Pengfei
  • Tian, Zhe
  • Yuan, Shanshan
  • Zhu, Neng

Abstract

The study of the dynamic characteristics of the district heating (DH) systems is a necessary prerequisite for the control strategy. Through the study of the primary system and secondary system in DH systems, dynamic models of the DH network are built in this paper. Two important parameters and their mathematical expressions representing the dynamic characteristics of the DH network are described. These parameters include the lag time and relative attenuation degree of DH systems. Test data about three heat exchange stations were used in the calculation of the lag time and relative attenuation degree in the process of solving the dynamic models. Peak-valley method was introduced to find the actual lag time, and the correspondence analysis method was used to obtain the actual relative attenuation degree. The comparison of actual data with calculating data of the two parameters verified the correctness of the dynamic models. The lag time is proved to be approximately equal to the flow time of the heat medium in the DH network, and some parameters influencing the relative attenuation degree are analyzed. This will help the technicians to regulate the DH systems in the process of operation and management using the two parameters.

Suggested Citation

  • Jie, Pengfei & Tian, Zhe & Yuan, Shanshan & Zhu, Neng, 2012. "Modeling the dynamic characteristics of a district heating network," Energy, Elsevier, vol. 39(1), pages 126-134.
    • Handle: RePEc:eee:energy:v:39:y:2012:i:1:p:126-134
    DOI: 10.1016/j.energy.2012.01.055
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    Cited by:

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    15. Kicsiny, R. & Nagy, J. & Szalóki, Cs., 2014. "Extended ordinary differential equation models for solar heating systems with pipes," Applied Energy, Elsevier, vol. 129(C), pages 166-176.
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    17. Zhang, Lipeng & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Li, Hongwei & Li, Xiaopeng & Svendsen, Svend, 2016. "Method for reducing excess heat supply experienced in typical Chinese district heating systems by achieving hydraulic balance and improving indoor air temperature control at the building level," Energy, Elsevier, vol. 107(C), pages 431-442.
    18. Jing Zhao & Yu Shan, 2019. "An Influencing Parameters Analysis of District Heating Network Time Delays Based on the CFD Method," Energies, MDPI, vol. 12(7), pages 1-19, April.
    19. Sun, Chunhua & Liu, Yiting & Cao, Shanshan & Chen, Jiali & Xia, Guoqiang & Wu, Xiangdong, 2022. "Identification of control regularity of heating stations based on cross-correlation function dynamic time delay method," Energy, Elsevier, vol. 246(C).
    20. Jie, Pengfei & Zhao, Wanyue & Li, Fating & Wei, Fengjun & Li, Jing, 2020. "Optimizing the pressure drop per unit length of district heating piping networks from an environmental perspective," Energy, Elsevier, vol. 202(C).
    21. Wang, Wei & Jing, Sitong & Sun, Yang & Liu, Jizhen & Niu, Yuguang & Zeng, Deliang & Cui, Can, 2019. "Combined heat and power control considering thermal inertia of district heating network for flexible electric power regulation," Energy, Elsevier, vol. 169(C), pages 988-999.
    22. Wang, Hai & Wang, Haiying & Zhu, Tong & Deng, Wanli, 2017. "A novel model for steam transportation considering drainage loss in pipeline networks," Applied Energy, Elsevier, vol. 188(C), pages 178-189.
    23. Jiang, Mengting & Speetjens, Michel & Rindt, Camilo & Smeulders, David, 2023. "A data-based reduced-order model for dynamic simulation and control of district-heating networks," Applied Energy, Elsevier, vol. 340(C).

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